Exploratory Data Analysis of TV Streaming

Percent of shows that are 18+

Per example, importing more libraries: https://www.kaggle.com/sreshta140/a-quick-analysis-on-tv-shows

Converting Rotten Tomatoes score to a float

Correlation Matrix

Finding top of IMBD:

Of these top 10 IMDb scores, how many are on streaming? How many on multiple streaming?

How many movies were released each year?

analyzing the services:

Years of movies in each service library:

Separating viewing platforms

8+ ratings on IMDb

Rotten Tomatoes Rating:

Netflix count by age:

How would I stack this data on top of each other?

By year:

DF Form:

Top production years:

Trying to see which years producted the most movies that are on the streaming service...not going well

Finally, top 10 years of show releases.

This route created a dataframe of only Sherlock

df.loc[df[‘column name’] condition]

This route just outputs the row.

Used: https://www.kaggle.com/osmanballi/analysis-of-tv-shows-sns-go-pyplot https://www.kaggle.com/nishadjoshi98/visualization-analysis-and-recommendation-system https://www.kaggle.com/sreshta140/a-quick-analysis-on-tv-shows for inspiration